Analysis of requirements for virtual machine migration in dynamic clouds

Stelios Sotiriadis , Nik Bessis , Paweł Gepner , Nicolas Markatos

Abstract

Highly dynamic environments like clouds by nature cause a high degree of unpredictability of resource utilization and performance. Failures, latencies and heterogeneity should always be the main concern for affecting the scheduling decisions in distributed infrastructures. As a result, the scheduling efficiency of jobs before their submission is very difficult to be achieved or either forecasted. Even in the cases of the most complex schedulers a comprehensive dynamic view cannot always be predicted. Thus, the rescheduling concept takes advantage of the current scheduling status and performs a dynamic scheduling decision. In this paper we present a discussion of the virtual machine migration strategies that are currently available in distributed systems based on the need of migrating virtualized resources in order to achieve better resource utilization and performance such as improve load balancing, makespan and higher throughput of jobs. We conclude our study with a critical discussion of vital requirements for virtual machine migration. © 2013 IEEE.

Author Stelios Sotiriadis - [University of Derby]
Stelios Sotiriadis,,
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, Nik Bessis - [University of Derby]
Nik Bessis,,
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, Paweł Gepner (FPE / IOPS)
Paweł Gepner,,
- The Institute of Organization of Production Systems
, Nicolas Markatos - [National Technical University of Athens]
Nicolas Markatos,,
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Journal seriesProceedings - 2013 IEEE 12th International Symposium on Parallel and Distributed Computing, ISPDC 2013
Issue year2013
Pages116-123
Publication size in sheets0.5
DOIDOI:10.1109/ISPDC.2013.24
Languageen angielski
Score (nominal)0
Score sourcejournalList
ScoreMinisterial score = 0.0, 18-09-2020, ArticleFromJournal
Ministerial score (2013-2016) = 0.0, 18-09-2020, ArticleFromJournal
Publication indicators Scopus Citations = 3; GS Citations = 6.0
Citation count*6 (2020-08-31)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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